AWS Generative AI for Beginners | Ep. 7: Advanced Bedrock Knowledge Base & Testing (Part 2) скачать в хорошем качестве

AWS Generative AI for Beginners | Ep. 7: Advanced Bedrock Knowledge Base & Testing (Part 2)

Welcome back to AWS Generative AI for Beginners! In this seventh episode, we continue our exploration of AWS Bedrock Knowledge Bases, building upon the foundational setup from our previous video. Now that your knowledge base is created and your data is ingested, it's time to test its effectiveness, explore advanced configurations, and understand how to maintain its relevance over time. In this episode, we'll cover: Monitoring Knowledge Base Ingestion: How to check the status of your data ingestion jobs and ensure all your documents have been successfully processed and indexed. Testing Your Knowledge Base: Using the Bedrock console's built-in testing interface to query your knowledge base and observe how it retrieves information and generates grounded responses. Understanding Generated Responses and Citations: How Bedrock provides footnotes and source attribution for the information it retrieves, enhancing transparency and trustworthiness. Updating and Syncing Your Knowledge Base: Strategies for keeping your knowledge base up-to-date with new or modified data to ensure your AI always has the latest information. This video provides you with the skills to effectively manage, test, and optimize your AWS Bedrock Knowledge Bases, enabling you to build highly accurate and reliable generative AI applications. Don't forget to like, subscribe, and hit the notification bell so you don't miss any episodes in our AWS Generative AI for Beginners series! Keywords: AWS, Amazon Web Services, AWS Bedrock, Generative AI, Artificial Intelligence, Machine Learning, AI for Beginners, Cloud Computing, Foundation Models, Knowledge Base, RAG, Data Retrieval, Bedrock Testing, Data Sync, API Integration, AI Accuracy, AWS AI Hashtags: #AWS #AWSBedrock #GenerativeAI #ArtificialIntelligence #MachineLearning #AIBeginners #KnowledgeBase #RAG #CloudAI #AWSTutorial #AIAccuracy